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Fuzzy Application on Rule Space Approach and Graphic Knowledge Structure Representation for Equality Axiom Concepts

机译:规则空间方法的模糊应用和平等公理概念的图形知识结构表示

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The purpose of this study is to provide an integrated methodology of fuzzy approach on rule space and graphic knowledge structure analysis. The authors adopt fuzzy c-means based on the information of latent trait and standardized caution index of students, which are from item response theory (IRT) and S-P chart respectively. This method is similar to the utility of rule space, which is provided Tatsuoka, hut it is fuzzy clustering in this study. Another characteristic of this study is the graphic representation on knowledge structure by fuzzy structural modeling (FSM) and it is an individualized knowledge structure analysis. The clustering results and individualized knowledge structure analysis could provide important information for remedial instruction.
机译:本研究的目的是提供规则空间和图形知识结构分析的模糊方法的综合方法。作者采用了基于潜在特质和学生标准化指数的信息,这些方法分别来自项目响应理论(IRT)和S-P图表。此方法类似于规则空间的实用程序,该实用程序提供了Tatsuoka,小屋在本研究中是模糊聚类。该研究的另一个特征是通过模糊结构建模(FSM)对知识结构的图形表示,并且是个性化知识结构分析。聚类结果和个性化知识结构分析可以为补救教学提供重要信息。

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